Evidence map›Paper›PMID 16180946›Full record

ReviewSports medicine (Auckland, N.Z.)2005

Models to explain fatigue during prolonged endurance cycling.

Chris R Abbiss, Paul B Laursen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Sports medicine (Auckland, N.Z.), 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Correlation properties of heart rate variability during endurance exercise: A systematic review.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020
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  17. Iranian journal of basic medical sciences · 2026
    Review
  18. Physiological Responder Profiles and Fatigue Dynamics in Prolonged Cycling.Journal of functional morphology and kinesiology · 2025
    Article
  19. Cognitive correlates of human endurance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article

43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Chris R AbbissSchool of Exercise, Biomedical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia. c.abbiss@ecu.edu.au
Paul B Laursen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Much of the previous research into understanding fatigue during prolonged cycling has found that cycling performance may be limited by numerous physiological, biomechanical, environmental, mechanical and psychological factors. From over 2000 manuscripts addressing the topic of fatigue, a number of diverse cause-and-effect models have been developed. These include the following models: (i) cardiovascular/anaerobic; (ii) energy supply/energy depletion; (iii) neuromuscular fatigue; (iv) muscle trauma; (v) biomechanical; (vi) thermoregulatory; (vii) psychological/motivational; and (viii) central governor. More recently, however, a complex systems model of fatigue has been proposed, whereby these aforementioned linear models provide afferent feedback that is integrated by a central governor into our unconscious perception of fatigue. This review outlines the more conventional linear models of fatigue and addresses specifically how these may influence the development of fatigue during cycling. The review concludes by showing how these linear models of fatigue might be integrated into a more recently proposed nonlinear complex systems model of exercise-induced fatigue.

Indexed as

BicyclingExercise ToleranceModels, BiologicalMuscle FatigueBiomechanical PhenomenaBody Temperature RegulationBrainEnergy MetabolismHumansLactic AcidMuscle, SkeletalPeripheral Nervous SystemTime FactorsLactic Acid

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.